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IBM Systems Journal 
Volume 43, Number 3, 2004
Unstructured Information Management
 Table of contents: arrowHTML arrowPDF   This article: arrowHTML arrowPDF arrowCopyright info
  

Building an example application with the Unstructured Information Management Architecture - References

by D. Ferrucci and A. Lally

Cited references and note

  1. C. Moore, “Diving into Data,” InfoWorld (October 25, 2002), http://www.infoworld.com/article/02/10/25/021028feundata_1.html.
  2. D. Ferrucci and A. Lally, “UIMA: An Architectural Approach to Unstructured Information Processing in the Corporate Research Environment,” Natural Language Engineering (2004, to appear).
  3. W. Roush, “Computers that Speak Your Language,” Technology Review 106, No. 5, 32 (2003).
  4. H. Cunningham, K. Bontcheva, V. Tablan, and Y. Wilks, “Software Infrastructure for Language Resources: A Taxonomy of Previous Work and a Requirements Analysis,” Proceedings of the Second Conference on Language Resources Evaluation, Athens, European Language Resources Association, Paris (2000).
  5. K. Bontcheva, H. Cunningham, V. Tablan, D. Maynard, and H. Saggion, “Developing Reusable and Robust Language Processing Components for Information Systems Using GATE,” Proceedings of the 3rd International Workshop on Natural Language and Information Systems (NLIS'2002), IEEE Computer Society Press, New York (2002).
  6. C. Laprun, J. Fiscus, J. Garofolo, and S. Pajot, “A Practical Introduction to ATLAS,” Proceedings of the Third International Conference on Language Resources and Evaluation, European Language Resources Association, Paris (2002).
  7. T. Götz and O. Suhre, “Design and Implementation of the UIMA Common Analysis System,” IBM Systems Journal 43, No. 3, 476–489 (2004, this issue).
  8. R. Grishman, Tipster Architecture Design Document Version 2.2, Technical Report, Defense Advanced Research Projects Agency (DARPA), U.S. Department of Defense (1996).
  9. S. Mardis and J. Burger, “Qanda and the Catalyst Architecture,” AAAI Spring Symposium on Mining Answers from Text and Knowledge Bases, American Association for Artificial Intelligence (2002).
  10. M. Schor, An Effective, Java-Friendly Interface to the CAS, Research Report RC23176, IBM T.J. Watson Research Center, Yorktown Heights, N.Y (2004).
  11. D. Lewis, “Text Representation For Text Classification,” P. Jacobs, Editor, Text-Based Intelligent System, Lawrence Erlbaum Associates, Mahwah, N.J. (1992).
  12. C. Apte, F. Damerau, and S. Weiss, “Automated Learning of Decision Rules for Text Categorization,” ACM Transactions on Information Systems 12, No. 3, 233–251 (1994).
  13. Y. Yang, “An Evaluation of Statistical Approaches to Text Categorization,” Information Retrieval Journal 1, No. 1–2, 69–90 (1999).
  14. D. Carmel, Y. Maarek, M. Mandelbrod, Y. Mass and A. Soffer, “Searching XML Documents via XML Fragments,” Proceedings of the 26th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, Toronto, Canada, ACM, New York (2003).
  15. R. Agrawal, R. Bayardo, D. Gruhl, and S. Papadimitriou, “Vinci: A Service-Oriented Architecture for Rapid Development of Web Applications,” Computer Networks 39, No. 5, 523–539 (2002).
  16. To accurately detect informal meeting references expressed in natural language indicating times, locations, and subjects may be nontrivial. Our focus in this paper is to describe how to structure a UIM application based on UIMA, rather than to present the most accurate algorithms.
  17. R. Mack, S. Mukherjea, A. Sofer, N. Uramoto, E. Brown, A. Coden, J. Cooper, A. Inokuchi, B. Iyer, Y. Mass, H. Matsuzaws, and L. V. Subramaniam, “Text Analytics for Life Science Using the Unstructured Information Management Architecture,” IBM Systems Journal 43, No. 3, 490–515 (2004, this issue).
  18. S. Cass, “A Fountain of Knowledge,” IEEE Spectrum 41, No. 1, 60–67 (2004), http://www.spectrum.ieee.org/WEBONLY/publicfeature/jan04/0104comp1.html.
  19. eclipse.org, http://eclipse.org.
  20. Lotus Workplace, IBM Corporation, http://www.lotus.com/engine/jumpages.nsf/wdocs/ondemand.
  21. DB2 Content Manager Family, IBM Corporation, (http://www.ibm.com/software/data/cm/cmgr).
  22. See for example the presentations C. Wolpert, “Lotus Workplace: Search,” Lotus Software, IBM Corporation, (http://media.lotus.com/lotusphere2004/id/id505.pdf, and A. Soffer, “IBM Search Technologies—The Haifa Perspective,” IBM Haifa Labs, IBM Corporation, http://www.haifa.il.ibm.com/Workshops/searchandcollaboration2004/papers/SearchTechnologies.pdf
  23. R. Basili, M. Di Nanni, and M. Pazienza, “Engineering of IE Systems: An Object-Oriented Approach,” M. Pazienza, Editor, Information Extraction, Lecture Notes in Artificial Intelligence 1714, Springer-Verlag, Berlin (1999), pp. 134–164.